Triple

T1082489
Position Surface form Disambiguated ID Type / Status
Subject Malay E23976 entity
Predicate standardizedVariety P5973 FINISHED
Object Brunei Malay E23976 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brunei Malay | Statement: [Malay, standardizedVariety, Brunei Malay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brunei Malay
Context triple: [Malay, standardizedVariety, Brunei Malay]
  • A. Malay chosen
    Malay is an Austronesian language widely spoken in Southeast Asia and serves as a national or official language in several countries, including Malaysia, Indonesia (as Indonesian), Brunei, and Singapore.
  • B. MALAYSIAN
    MALAYSIAN is the radio callsign used by Malaysia Airlines for its commercial flight operations.
  • C. Madurese
    The Madurese are an Austronesian ethnic group from Madura Island and surrounding regions of Indonesia, known for their distinct language, Islamic traditions, and maritime and cattle-breeding culture.
  • D. Sundanese
    The Sundanese are an indigenous ethnic group of western Java in Indonesia, known for their distinct language, rich musical and dance traditions, and agrarian culture.
  • E. Old Malay
    Old Malay is an early historical form of the Malay language that served as a major lingua franca and literary language in maritime Southeast Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb74b0908190be51a7141e661d3e completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac538a5d248190bb44c6b27d2c714c completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:42 p.m.